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AssistIQ
AssistIQ
1 – 10 Employees
ConsultingHealthcareLogistics
AssistIQ develops healthcare supply chain technology for hospitals and clinical organizations. Its AIQ Capture platform uses computer vision and machine learning to identify and record medical supplies and implants without barcodes or dedicated hardware. By connecting with electronic health record and enterprise resource planning systems, AssistIQ helps perioperative, clinical, and finance teams improve supply visibility, capture charges more accurately, reduce waste, and turn usage data into operational insights. The company’s work sits at the intersection of healthcare, logistics, and applied technology, with a focus on simplifying documentation and helping care teams spend more time on patient care.
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AI Computer Vision Engineer — Canada Remote

Build production-grade computer vision and vision-language systems that improve healthcare supply-chain visibility, reduce waste, and support revenue capture.

CACanadaUSUnited StatesRemoteFull-timeMiddleSeniorEnglish RequiredComputer Vision EngineerMachine Learning Engineer
C++CloudPythonPyTorch

Description

  • Partner with product managers to turn real-world challenges into practical computer vision and machine learning solutions with measurable impact.
  • Build computer vision and vision-language systems using classical methods alongside modern AI techniques.
  • Optimize, deploy, and maintain models across cloud and edge environments with a focus on reliability and efficiency.
  • Create evaluation frameworks for computer vision and vision-language models using metrics that reflect real-world performance.
  • Monitor production systems, troubleshoot issues, and improve models through new data or updated architectures.
  • Track advances in computer vision research and apply relevant methods to strengthen vision-based products.

Requirements

  • At least three years of software development experience.
  • At least three years building computer vision systems in Python or C++, including real-time inference, deployment pipelines, and model optimization.
  • Strong grounding in classical computer vision and deep learning methods.
  • Proficiency with frameworks such as PyTorch.
  • Experience designing and operating evaluation frameworks for vision and multimodal models.
  • Experience deploying computer vision or machine learning systems in production.
  • Experience with MLOps practices for monitoring, logging, and maintaining deployed AI systems.
  • Industry experience in life sciences, healthcare, or technology is an asset.
  • Excellent spoken and written English communication skills.
  • Spoken and written French is an asset.
  • Legal authorization to work in Canada without sponsorship.

Benefits

  • Health insurance.
  • Fully remote work with hybrid possibilities.
  • Business travel as required.
  • Three weeks of vacation.
  • Ten sick days.
  • Flexible working hours.

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